Graph Computing Systems and Partitioning Techniques: A Survey

Graph Computing Systems and Partitioning Techniques: A Survey

<h3>Abstract</h3><p dir="ltr">Graphs are a tremendously suitable data representations that model the relationships of entities in many application domains, such as recommendation systems, machine learning, computational biology, social network analysis, and other applicat...

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Bibliographic Details
Main Author: Tewodros Alemu Ayall (19273717) (author)
Other Authors: Huawen Liu (840748) (author), Changjun Zhou (451444) (author), Abegaz Mohammed Seid (19170901) (author), Fantahun Bogale Gereme (19517581) (author), Hayla Nahom Abishu (19517584) (author), Yasin Habtamu Yacob (19517587) (author)
Published: 2022
Subjects:
Information and computing sciences
Computer vision and multimedia computation
Data management and data science
Distributed computing
graph computing systems
graph partitioning
graph processing systems
graph databases
graph algorithm
large-scale graph analysis
Partitioning algorithms
Computational modeling
Global Positioning System
Classification algorithms
Social networking (online)
Heuristic algorithms
Data models
Graph theory
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